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Evaluating the Environmental-Technology Gaps of Rice Farms in Distinct Agro-Ecological Zones of Ghana

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  • Jacob Asravor

    (Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, P.O. Box KA 9698, Accra, Ghana
    Institute of Agricultural Economics and Social Sciences in the Tropics and Subtropics, University of Hohenheim, Wollgrasweg 43, 70599 Stuttgart, Germany)

  • Alexander N. Wiredu

    (International Institute of Tropical Agriculture (IITA), P.O. Box 709, Nampula, Mozambique)

  • Khalid Siddig

    (International Agricultural Trade and Development, Humboldt-Universität zu Berlin, 10099 Berlin, Germany
    Department of Agricultural Economics, University of Khartoum, Shambat 13314, Sudan)

  • Edward E. Onumah

    (Department of Agricultural Economics and Agribusiness, University of Ghana, P.O. Box LG 68, Accra, Ghana)

Abstract

Rice ( Oryza sativa ) is an important food staple and a cash crop, which is cultivated in all the ten regions of Ghana under varying agro-ecological conditions. These conditions also reflect the production technologies used and the total farm output. In an attempt to determine the potential sources of production shortfalls on rice farms in Ghana, this paper estimates the production efficiency and the environmental-technology gaps of rice-producing households in the forest-savannah transition and guinea savannah agro-ecological zones of Ghana. The paper adopts the stochastic metafrontier framework, which permits technology-related inefficiency effects to be extricated from managerial inefficiency effects for appropriate policy formulation. In contrast to past studies, the empirical findings reveal that farms in the two agro-ecological zones adopt heterogeneous production technologies due to differences in their production environments. This is indicated by the estimated mean environmental-technology gap ratios of 0.95 and 0.50, and mean metafrontier technical efficiencies of 0.56 and 0.42 for farms in the forest-savannah transition and guinea savannah zones, respectively. These findings call for agricultural policy formulation in Ghana to be targeted at the prevailing environmental conditions of the various agro-ecological zones rather than being all-inclusive in addressing the extant inefficiencies in the rice production systems of Ghana.

Suggested Citation

  • Jacob Asravor & Alexander N. Wiredu & Khalid Siddig & Edward E. Onumah, 2019. "Evaluating the Environmental-Technology Gaps of Rice Farms in Distinct Agro-Ecological Zones of Ghana," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:7:p:2072-:d:220731
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    References listed on IDEAS

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    1. Donkor, Emmanuel & Owusu, Victor, 2014. "Effects of land tenure systems on resource-use productivity and efficiency in Ghana’s rice industry," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 9(4), pages 1-14, December.
    2. Tim J. Coelli, 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 219-245, December.
    3. Marc Jim Mariano & Renato Villano & Euan Fleming, 2011. "Technical Efficiency of Rice Farms in Different Agroclimatic Zones in the Philippines: An Application of a Stochastic Metafrontier Model," Asian Economic Journal, East Asian Economic Association, vol. 25(3), pages 245-269, September.
    4. Yujiro Hayami, 1969. "Sources of Agricultural Productivity Gap Among Selected Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 51(3), pages 564-575.
    5. Frederick Armah & Justice Odoi & Genesis Yengoh & Samuel Obiri & David Yawson & Ernest Afrifa, 2011. "Food security and climate change in drought-sensitive savanna zones of Ghana," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 16(3), pages 291-306, March.
    6. Abdulai, Awudu & Huffman, Wallace, 2000. "Structural Adjustment and Economic Efficiency of Rice Farmers in Northern Ghana," Economic Development and Cultural Change, University of Chicago Press, vol. 48(3), pages 503-520, April.
    7. Abdulai, Abdul-Nafeo & Abdulai, Awudu, 2017. "Examining the impact of conservation agriculture on environmental efficiency among maize farmers in Zambia," Environment and Development Economics, Cambridge University Press, vol. 22(2), pages 177-201, April.
    8. Seidu Al-hassan, 2008. "Technical Efficiency of Rice Farmers in Northern Ghana," Working Papers 178, African Economic Research Consortium, Research Department.
    9. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    10. Victor Owusu & Emmanuel Donkor & Enoch Owusu†Sekyere, 2018. "Accounting for the Gender Technology Gap Amongst Smallholder Rice Farmers in Northern Ghana," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(2), pages 439-457, June.
    11. Ekboir, Javier M. & Boa, Kofi & Dankyi, A.A., 2002. "Impact Of No-Till Technologies In Ghana," Economics Program Papers 23721, CIMMYT: International Maize and Wheat Improvement Center.
    12. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    13. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    14. Mensah, Amos & Brummer, Bernhard, 2016. "Drivers of technical efficiency and technology gaps in Ghana’s mango production sector: a stochastic metafrontier approach," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246269, African Association of Agricultural Economists (AAAE).
    15. Ragasa, Catherine & Dankyi, Awere & Acheampong, Patricia & Wiredu, Alexander Nimo & Chapoto, Antony & Asamoah, Marian & Tripp, Robert, 2013. "Patterns of adoption of improved rice technologies in Ghana:," GSSP working papers 35, International Food Policy Research Institute (IFPRI).
    16. Abdulai, Awudu & Eberlin, Richard, 2001. "Technical efficiency during economic reform in Nicaragua: evidence from farm household survey data," Economic Systems, Elsevier, vol. 25(2), pages 113-125, June.
    17. Abatania, Luke N. & Hailu, Atakelty & Mugera, Amin W., 2012. "Analysis of farm household technical efficiency in Northern Ghana using bootstrap DEA," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124211, Australian Agricultural and Resource Economics Society.
    18. Hossein Mehrabi Boshrabadi & Renato Villano & Euan Fleming, 2008. "Technical efficiency and environmental‐technological gaps in wheat production in Kerman province of Iran," Agricultural Economics, International Association of Agricultural Economists, vol. 38(1), pages 67-76, January.
    19. Hayami, Yujiro & Ruttan, Vernon W, 1970. "Agricultural Productivity Differences Among Countries," American Economic Review, American Economic Association, vol. 60(5), pages 895-911, December.
    20. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    21. Villano, Renato & Asante, Bright Owusu & Bravo-Ureta, Boris, 2019. "Farming systems and productivity gaps: Opportunities for improving smallholder performance in the Forest-Savannah transition zone of Ghana," Land Use Policy, Elsevier, vol. 82(C), pages 220-227.
    22. George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
    23. Renato Villano & Boris Bravo-Ureta & Daniel Solís & Euan Fleming, 2015. "Modern Rice Technologies and Productivity in the Philippines: Disentangling Technology from Managerial Gaps," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(1), pages 129-154, February.
    24. Joachim Nyemeck BINAM & Jim GOCKOWSKI & Guy Blaise NKAMLEU, 2008. "Technical Efficiency And Productivity Potential Of Cocoa Farmers In West African Countries," The Developing Economies, Institute of Developing Economies, vol. 46(3), pages 242-263, September.
    25. Benjamin Tetteh Anang & Stefan Bäckman & Timo Sipiläinen, 2016. "Technical efficiency and its determinants in smallholder rice production in northern Ghana," Journal of Developing Areas, Tennessee State University, College of Business, vol. 50(2), pages 311-328, April-Jun.
    26. George E. Battese, 1997. "A Note On The Estimation Of Cobb‐Douglas Production Functions When Some Explanatory Variables Have Zero Values," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 250-252, January.
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    2. Abdul-Rahaman, Awal & Issahaku, Gazali & Zereyesus, Yacob A., 2021. "Improved rice variety adoption and farm production efficiency: Accounting for unobservable selection bias and technology gaps among smallholder farmers in Ghana," Technology in Society, Elsevier, vol. 64(C).
    3. TSIBOE, Francis & ASEETE, Paul & DJOKOTO, Justice G., 2021. "Spatiotemporal Evaluation Of Dry Beans And Groundnut Production Technology And Inefficiency In Ghana," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 24(1), March.
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